Dystrio Sculpt Throughput tier (kf=0.88)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,169 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+language:
+  - en
+base_model: Qwen/Qwen3.5-9B
+tags:
+  - dystrio
+  - sculpt
+  - pruned
+  - compressed
+  - efficient
+  - dense
+  - drop-in-replacement
+  - qwen3.5
+datasets:
+  - wikitext
+  - cais/mmlu
+  - teknium/OpenHermes-2.5
+---
+
+# Qwen3.5-9B-Sculpt-Throughput
+
+> **12% FFN compression with live teacher distillation. Drop-in replacement — no custom kernels, no runtime changes.**
+
+Dystrio Sculpt structurally compresses transformer FFN layers, producing dense models that load with standard `transformers`.
+
+This is the **Throughput** tier of [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B).
+
+**Use case:** Local/throughput — speed sweet spot (1.25x prefill)
+
+## Benchmark Results (lm_eval)
+
+| Model | MMLU | HellaSwag | ARC-C | TruthfulQA | Winogrande | GSM8K |
+|---|---:|---:|---:|---:|---:|---:|
+| **Qwen3.5-9B (baseline)** | 78.7 | 78.1 | 55.6 | 53.7 | 73.0 | 87.3 |
+| **Sculpt Default** (kf=0.95) | 76.2 (↓2.5) | 75.8 (↓2.3) | 56.4 (↑0.8) | 52.6 (↓1.1) | 68.7 (↓4.3) | 81.5 (↓5.8) |
+| **Sculpt Production** (kf=0.9) | 73.9 (↓4.8) | 75.1 (↓3.0) | 56.8 (↑1.2) | 47.3 (↓6.4) | 69.8 (↓3.2) | 74.5 (↓12.8) |
+| **Sculpt Throughput** (kf=0.88) | 70.8 (↓7.9) | 74.0 (↓4.1) | 57.2 (↑1.6) | 52.0 (↓1.7) | 70.7 (↓2.3) | 69.6 (↓17.7) |
+| **Sculpt Experimental** (kf=0.82) | 70.2 (↓8.5) | 70.7 (↓7.4) | 53.6 (↓2.0) | 47.6 (↓6.1) | 66.6 (↓6.4) | 54.7 (↓32.6) |
+
+### This Model vs Baseline
+
+| Benchmark | Throughput | Baseline | Delta |
+|---|---:|---:|---:|
+| arc_challenge | 57.2 | 55.6 | +1.6 |
+| gsm8k | 69.6 | 87.3 | -17.7 |
+| hellaswag | 74.0 | 78.1 | -4.1 |
+| mmlu | 70.8 | 78.7 | -7.9 |
+| mmlu_abstract_algebra | 47.0 | 66.0 | -19.0 |
+| mmlu_anatomy | 68.9 | 77.8 | -8.9 |
+| mmlu_astronomy | 82.9 | 92.8 | -9.9 |
+| mmlu_business_ethics | 73.0 | 82.0 | -9.0 |
+| mmlu_clinical_knowledge | 77.7 | 86.8 | -9.1 |
+| mmlu_college_biology | 83.3 | 93.1 | -9.8 |
+| mmlu_college_chemistry | 52.0 | 59.0 | -7.0 |
+| mmlu_college_computer_science | 64.0 | 82.0 | -18.0 |
+| mmlu_college_mathematics | 51.0 | 64.0 | -13.0 |
+| mmlu_college_medicine | 68.2 | 81.5 | -13.3 |
+| mmlu_college_physics | 59.8 | 64.7 | -4.9 |
+| mmlu_computer_security | 76.0 | 83.0 | -7.0 |
+| mmlu_conceptual_physics | 77.9 | 90.2 | -12.3 |
+| mmlu_econometrics | 52.6 | 73.7 | -21.1 |
+| mmlu_electrical_engineering | 64.8 | 82.1 | -17.3 |
+| mmlu_elementary_mathematics | 61.9 | 80.7 | -18.8 |
+| mmlu_formal_logic | 64.3 | 65.9 | -1.6 |
+| mmlu_global_facts | 37.0 | 50.0 | -13.0 |
+| mmlu_high_school_biology | 87.1 | 93.5 | -6.4 |
+| mmlu_high_school_chemistry | 67.0 | 77.8 | -10.8 |
+| mmlu_high_school_computer_science | 75.0 | 88.0 | -13.0 |
+| mmlu_high_school_european_history | 84.8 | 87.3 | -2.5 |
+| mmlu_high_school_geography | 82.3 | 92.4 | -10.1 |
+| mmlu_high_school_government_and_politics | 89.1 | 96.9 | -7.8 |
+| mmlu_high_school_macroeconomics | 75.4 | 85.9 | -10.5 |
+| mmlu_high_school_mathematics | 44.1 | 53.3 | -9.2 |
+| mmlu_high_school_microeconomics | 85.7 | 93.3 | -7.6 |
+| mmlu_high_school_physics | 63.6 | 72.8 | -9.2 |
+| mmlu_high_school_psychology | 89.7 | 93.2 | -3.5 |
+| mmlu_high_school_statistics | 69.4 | 78.7 | -9.3 |
+| mmlu_high_school_us_history | 81.9 | 90.2 | -8.3 |
+| mmlu_high_school_world_history | 84.0 | 89.9 | -5.9 |
+| mmlu_human_aging | 71.3 | 78.9 | -7.6 |
+| mmlu_human_sexuality | 78.6 | 86.3 | -7.7 |
+| mmlu_humanities | 65.5 | 70.5 | -5.0 |
+| mmlu_international_law | 81.0 | 90.1 | -9.1 |
+| mmlu_jurisprudence | 80.6 | 84.3 | -3.7 |
+| mmlu_logical_fallacies | 74.2 | 84.7 | -10.5 |
+| mmlu_machine_learning | 55.4 | 66.1 | -10.7 |
+| mmlu_management | 86.4 | 86.4 | +0.0 |
+| mmlu_marketing | 86.8 | 95.7 | -8.9 |
+| mmlu_medical_genetics | 82.0 | 91.0 | -9.0 |
+| mmlu_miscellaneous | 82.6 | 90.3 | -7.7 |
+| mmlu_moral_disputes | 71.1 | 81.2 | -10.1 |
+| mmlu_moral_scenarios | 57.4 | 53.3 | +4.1 |
+| mmlu_nutrition | 76.1 | 86.3 | -10.2 |
+| mmlu_other | 74.2 | 83.1 | -8.9 |
+| mmlu_philosophy | 73.3 | 80.4 | -7.1 |
+| mmlu_prehistory | 72.5 | 84.3 | -11.8 |
+| mmlu_professional_accounting | 54.6 | 65.6 | -11.0 |
+| mmlu_professional_law | 53.9 | 60.3 | -6.4 |
+| mmlu_professional_medicine | 79.8 | 91.5 | -11.7 |
+| mmlu_professional_psychology | 72.1 | 82.8 | -10.7 |
+| mmlu_public_relations | 67.3 | 73.6 | -6.3 |
+| mmlu_security_studies | 75.1 | 76.7 | -1.6 |
+| mmlu_social_sciences | 79.5 | 87.0 | -7.5 |
+| mmlu_sociology | 87.6 | 89.1 | -1.5 |
+| mmlu_stem | 66.9 | 78.3 | -11.4 |
+| mmlu_us_foreign_policy | 86.0 | 90.0 | -4.0 |
+| mmlu_virology | 53.0 | 56.6 | -3.6 |
+| mmlu_world_religions | 81.9 | 86.5 | -4.6 |
+| truthfulqa_mc2 | 52.0 | 53.7 | -1.7 |
+| winogrande | 70.7 | 73.0 | -2.3 |
+
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "dystrio/Qwen3.5-9B-Sculpt-Throughput",
+    torch_dtype="bfloat16",
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("dystrio/Qwen3.5-9B-Sculpt-Throughput")
+
+inputs = tokenizer("The future of AI inference is", return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## All Sculpt Tiers
+
+| Tier | HuggingFace | Config | Use Case |
+|------|-------------|--------|----------|
+| Default | [dystrio/Qwen3.5-9B-Sculpt-Default](https://huggingface.co/dystrio/Qwen3.5-9B-Sculpt-Default) | kf=0.95 | Enterprise — maximum quality preservation |
+| Production | [dystrio/Qwen3.5-9B-Sculpt-Production](https://huggingface.co/dystrio/Qwen3.5-9B-Sculpt-Production) | kf=0.9 | Enterprise — balanced quality and efficiency |
+| Throughput | [dystrio/Qwen3.5-9B-Sculpt-Throughput](https://huggingface.co/dystrio/Qwen3.5-9B-Sculpt-Throughput) | kf=0.88 | Local/throughput — speed sweet spot (1.25x prefill) |
+| Experimental | [dystrio/Qwen3.5-9B-Sculpt-Experimental](https://huggingface.co/dystrio/Qwen3.5-9B-Sculpt-Experimental) | kf=0.82 | Local — maximum compression (1.27x prefill) |
+
+## Technical Details
+
+- **Method:** Structural FFN pruning with Physarum-inspired block selection + live teacher distillation (alpha=0.5)
+- **Keep fraction:** 0.88 (12% of FFN neurons removed)
+- **Repair:** 8-stage cosine-LR fine-tuning with best-checkpoint restore
+- **Training data:** general_v2 mixture (WikiText, OpenHermes 2.5, MMLU, HellaSwag, GSM8K, OpenOrca)
+- **Hardware:** 1x NVIDIA H200 141GB
+- **Output:** Standard dense transformer — loads with any HuggingFace-compatible framework
+
+## Compatibility
+
+- HuggingFace Transformers
+- vLLM
+- TGI (Text Generation Inference)
+- llama.cpp / GGUF conversion
+- AWQ / GPTQ quantization
+- Any framework that loads standard safetensors
+
+## Citation
+
+```bibtex
+@misc{dystrio_sculpt_2026,
+  title={Dystrio Sculpt: Structural Compilation for Transformer LLMs},
+  author={Dystrio},
+  year={2026},
+  url={https://huggingface.co/dystrio}
+}
+```

chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,83 @@
+{
+  "architectures": [
+    "Qwen3_5ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_output_gate": true,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 248044,
+  "full_attention_interval": 4,
+  "head_dim": 256,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 10880,
+  "layer_types": [
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention"
+  ],
+  "linear_conv_kernel_dim": 4,
+  "linear_key_head_dim": 128,
+  "linear_num_key_heads": 16,
+  "linear_num_value_heads": 32,
+  "linear_value_head_dim": 128,
+  "mamba_ssm_dtype": "float32",
+  "max_position_embeddings": 262144,
+  "mlp_only_layers": [],
+  "model_type": "qwen3_5_text",
+  "mtp_num_hidden_layers": 1,
+  "mtp_use_dedicated_embeddings": false,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "partial_rotary_factor": 0.25,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "mrope_interleaved": true,
+    "mrope_section": [
+      11,
+      11,
+      10
+    ],
+    "partial_rotary_factor": 0.25,
+    "rope_theta": 10000000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0.dev0",
+  "use_cache": true,
+  "vocab_size": 248320
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "eos_token_id": 248044,
+  "transformers_version": "5.3.0.dev0",
+  "use_cache": true
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:763dea818d79716619ed9a25d59d11fc7e969640923177651bab8374eb46400d
+size 16800366720

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9facde94660f9c53e928aad19c7d6a16d91f5e42d6d581db8d253b4787ee5e19
+size 19989441

tokenizer_config.json

@@ -0,0 +1,31 @@
+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "split_special_tokens": false,
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}